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Design of a Graphbased Social News Aggregator Network on Blockchain

Ziashahabi, Amir | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 52602 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Heydarnoori, Abbas; MaddahAli, Mohammad Ali
  7. Abstract:
  8. In today’s world, social networks have become one of the primary sources for the creation and propagation of news. Social news aggregators are one of the main actors in this area in which users create news items and use positive or negative votes to indicate their preference
    toward a news item. This approach suffers from several problems raging from being prone to the dominance of a united adversary to difficulty in decerning between correct and fake new news and lack of incentive for honest behaviors. In this paper, we propose a graphbased news aggregator in which instead of voting on new items, users submit their votes on the relations between news items. This method of voting facilitates presenting different aspects of news items and limits the ability of the adversary users to undermine the news items deemed undesired by them. We also introduce an incentive layer that uses blockchain as a distributed transparent manager to encourages users to behave honestly and abstain from adversary behaviors. The incentive layer takes into account that users can have different viewpoints toward news, enabling users from a wide range of viewpoints to contribute to the network and benefit from its rewards. In addition, we introduce a protocol that enables us to prove fraud in computations of the incentive layer model on the blockchain. Ultimately, we will analyze the fraud proof protocol and examine our incentive layer on a wide range of synthesized datasets
  9. Keywords:
  10. Blockchain

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